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GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 10 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
CEC
2010
IEEE
15 years 7 months ago
Smart flight and dynamic tolerances in the artificial bee colony for constrained optimization
This paper presents an adaptation of a novel algorithm based on the foraging behavior of honey bees to solve constrained numerical optimization problems. The modifications focus on...
Efrén Mezura-Montes, Mauricio Damian-Araoz,...
TEC
2010
171views more  TEC 2010»
15 years 1 months ago
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but als...
Shengxiang Yang, Changhe Li
ICTAI
1997
IEEE
15 years 10 months ago
Toward the Optimization of a Class of Black Box Optimization Algorithms
Many black box optimization algorithms have sufcient exibility to allow them to adapt to the varying circumstances they encounter. These capabilities are of two primary sorts: 1) ...
Gang Wang, Erik D. Goodman, William F. Punch III
ENVSOFT
2007
258views more  ENVSOFT 2007»
15 years 6 months ago
Optimal groundwater monitoring design using an ant colony optimization paradigm
Groundwater long-term monitoring (LTM) is required to assess the performance of groundwater remediation and human being health risk at post-closure sites where groundwater contami...
Yuanhai Li, Amy B. Chan Hilton